The Role

We’re looking for a Director of AI Solutions to join our AI team at Wpromote, reporting into the Head of AI Strategy & Innovation. You’ll be responsible for AI solutions that automate real workflows, sharpen decision-making, and extend Polaris IQ’s intelligence layer.

This position requires deep hands-on experience building with AI and a strategic mindset that understands product design / UX and technical feasibility. You’ll partner closely with Product Management, Software Engineering, and Data Engineering, and work with department leads from all disciplines to shape the future of AI at Wpromote.

At Wpromote, we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing.

We offer:

-Remote-first culture

-Unlimited PTO

-Extended Holiday break (Winter)

-Flexible schedules

-Work from anywhere options*

-100% paid parental leave

-401(k) matching

-Medical, Dental, Vision, Life, Pet Insurance

-Sponsored life insurance

-Short Term Disability insurance and additional voluntary insurance

-Annual Class Pass credits and more!

The anticipated annual salary for this role will range from $135,000 - $165,000, based on consideration of a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and respective state’s salary threshold for exempt employees. The total compensation package for this role will include benefits (listed above) and an annual performance bonus.

This role has an associated annual target bonus component which is paid out based on a number of factors which include Company performance, department performance, and individual performance. Bonuses are not guaranteed and you must be an active employee in good standing and not on a Performance Improvement Plan to be eligible for the annual bonus.

*This position may be performed remotely in most states within the US, with some exclusions

**While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!

***This position is not eligible for immigration sponsorship

Important Notice: Beware of Job Scams

Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers, it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity.

#LI-JJ

#LI-Remote

You Will Be

• Design, build, and ship AI solutions to automate workflows, enhance deliverables, and create net new capabilities for internal & client-facing use.

• Own the full lifecycle of deployed AI solutions — maintenance, enhancement, reliability, and re-platforming.

• Architect solutions to integrate into Polaris IQ’s shared intelligence layer rather than as standalone tools.

• Partner with the Head of AI and stakeholders across GTM / Sales, Product Management, Software Engineering, and Data Engineering to identify high-value opportunities and translate them into deployed solutions.

• Manage and develop 2-3 Jr. AI Strategists — coaching, brief and work review, and growth planning.

You Must Have

• 7+ years of experience in marketing (agency-side or brand-side) in roles focused on client service / account management, product, or technology.

• 2+ years of hands-on experience shipping and operating production AI systems — including agentic orchestration, tool-use protocols (MCP or comparable), API integration, and SQL/data warehouse fluency (BigQuery preferred).

• Experience managing and developing early-career talent — coaching, work review, growth planning.

• Excellent communication skills and the ability to translate technical approaches into value for executives and non-technical stakeholders.

• Experience collaborating with Dev / Engineering and Product teams.

• A first-principles problem solver — identifies the root problem that needs to be addressed.

• Ability to manage ambiguity, prioritize effectively, and move quickly from concept to build.

Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.

Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Headquarters: Remote
URL: https://www.toptal.com/

About the Role

We're looking for an Airtable Process Automation Expert to design, build, and optimize workflow systems that eliminate manual busywork for growing teams. This is not a "set up a base" role — you'll be architecting end-to-end operational systems: automations, integrations, and process logic that fundamentally change how a business runs day to day.

 

You'll work directly with clients to translate messy, manual processes into clean, scalable Airtable-based systems — often integrating with other tools in their stack.

What You'll Do

• Design and build custom Airtable bases, interfaces, and automations tailored to a client's specific operational workflows

• Map existing manual processes and re-architect them into automated, self-maintaining systems

• Build integrations between Airtable and third-party tools (Zapier, Make, Slack, Gmail, native APIs) to create seamless cross-platform workflows

• Write and maintain Airtable scripting (JavaScript) for advanced automation logic beyond native no-code capabilities

• Design relational data structures and table architecture that scale as client needs grow

• Create intuitive interfaces and views for non-technical end users, ensuring adoption without a steep learning curve

• Troubleshoot and optimize existing Airtable systems that have become slow, fragile, or overly complex

• Document systems clearly so clients can maintain and extend them after handoff

• Communicate directly with clients to gather requirements, set expectations, and explain technical tradeoffs in plain language

What You Bring

• 5+ years of hands-on experience building in Airtable, including advanced automation and scripting

• Demonstrated experience integrating Airtable with tools like Zapier, Make, or via native/REST APIs

• Strong process-mapping and systems-thinking skills — you can see the full workflow before you start building

• Experience designing for non-technical teams, with systems that are adopted and actually used, not abandoned

• Comfortable working independently and communicating asynchronously with distributed, remote teams

• A portfolio or examples of past Airtable automation projects you can speak to

Nice to Have

• Experience with other no-code/low-code platforms (Notion, Make, Retool, Glide)

• Background in operations, business process consulting, or a related field

• Familiarity with JavaScript beyond Airtable's scripting block

• Experience working with global clients in a consulting/freelance capacity

RATE: $80-$105/hr. USD

 

To apply: https://weworkremotely.com/remote-jobs/toptal-airtable-process-automation-expert

About Customer.io

Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

About the role

Hi, my name is Nick Guardino, Senior Director of Marketing Ops at Customer.io, and I’m looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on.

Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren’t built to scale. We believe businesses can run leaner and go further when they deploy AI agents well, and we’re figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building.

What we value

• Craft over quick wins — energized by making things robust, not just making them work.
• A point of view — we want someone who asks “why did you build it that way?” and has a specific answer for what to do instead.
• Comfortable being wrong — you try things fast, and you course-correct just as fast.
• AI-native by default — you’d rather direct Claude to write and QA code than write it by hand.

What you’ll do

• Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code.
• Observability & stability — instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do.
• Deployment & infrastructure — stand up and maintain the pipelines that get agents into users’ hands without surprises, owning environment parity and release hygiene on our GCP stack.
• Database administration — own how agents read from and write to our databases, safely and at scale.
• Fleet maintenance — monitor agent behavior in production, triage issues, and ship the steady stream of improvements that make an agent indispensable rather than just useful.
• Partner closely with the GTM AI team — free up our agent builders to stay in their zero-to-one wheelhouse while you own scale and reliability.
• Bring an outside point of view — tell us what we built wrong, and back it up with a plan to fix it.

What we’re looking for

• 4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role, ideally at a B2B SaaS company.
• Comfort working in the terminal daily, with a real GitHub PR-and-deploy workflow.
• Cloud hosting experience — Kubernetes, VMs, or equivalent; Google Cloud experience strongly preferred.
• Experience with how agents interact with and edit databases, including some hands-on database administration.
• Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent frameworks.
• Ability to prompt AI tools correctly, review their output critically, and direct them to QA their own work — this is an AI-native role, not a hand-coding one.
• Scrappy enough to iterate fast, disciplined enough to think about consistency once something needs to scale.
• A point of view, and the willingness to ask “why did you build it that way?”

Compensation & Benefits

We believe in transparency. Starting salary for this role is $140,000–$170,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

1. 30-minute Zoom call with Recruiter
2. 45-minute Zoom call with Hiring Manager
3. 45-minute Zoom call with a member of the GTM AI team
4. 60-minute Live technical session with the team

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join us!

Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

Tonkean is the world’s first totally customizable process experience platform. With Tonkean, you can create intelligent, personalized automations that integrate with every app or system your organization uses. You can cultivate an employee experience that democratizes access to innovative technologies traditionally only available to highly trained developers. You can enable employees to focus more fully on high-value tasks, because you can enable them to automate low-value tasks. You can create inbox solutions that automatically analyze, prioritize, and route unstructured requests coming from any source, and you can track the status of action items as employees collaborate across teams to complete them. And you can design processes that employees are guaranteed to adopt and benefit from no matter their technical acumen, because Tonkean meets employees where they are—eliminating the need for change management—and is 100% no-code.

At Tonkean, we believe that all this—compliance, efficiency, operational excellence—requires high levels of process adoption. But to ensure high levels of process adoption, you need to create processes that provide a great employee experience: that serve employees’ needs, understand their preferences, and solve their problems.

To that end, you need a barrier-breaking technology partner. That’s what Tonkean seeks to be.

ROLE OVERVIEW

As a Senior Implementation Engineer, you will design and build sophisticated workflow applications for some of the world’s largest enterprises using Tonkean’s no-code platform.

This is not a traditional implementation or configuration role.

You will think like a software engineer—breaking down business problems into logical systems, designing data flows, integrating data sources, troubleshooting complex behaviors, and building scalable solutions—without writing production application code.

Every customer implementation is different. You’ll build intelligent workflows that orchestrate people, systems, AI, and business rules across dozens of enterprise applications.

If you enjoy solving technical puzzles, thinking in systems, and building software that customers immediately use, you’ll thrive here.

WHAT YOU WILL WORK ON

• Design and build production-ready workflow applications that combine AI, business logic, enterprise integrations, and intuitive user experiences to solve complex business challenges.

• Translate customer requirements into scalable technical solutions, designing workflow logic that accounts for real-world complexity, edge cases, and evolving business needs.

• Build intelligent automations that orchestrate approvals, routing, SLAs, exception handling, and business rules across enterprise processes.

• Connect enterprise systems using native connectors, and data transformations to create seamless end-to-end workflows.

• Create AI-powered experiences that analyze requests, automate decisions, and guide users through complex business processes.

• Troubleshoot workflows, integrations, and data synchronization issues while optimizing performance and reliability.

• Collaborate with workflow architects and customers to iterate on solutions throughout implementation, testing, and deployment.

• Develop reusable workflow components, implementation patterns, and best practices that improve delivery across the organization.

• Demonstrate completed solutions to customers, incorporate feedback, and contribute ideas that shape the future of the Tonkean platform.

ABOUT YOU

• 5+ years designing or building technical solutions for enterprise customers.

• Strong systems thinking with the ability to translate complex business requirements into scalable workflows and automation.

• Experience implementing SaaS, workflow automation, integration, or low-code solutions in complex enterprise environments.

• Familiarity with JSON, data transformations, and system integrations.

• Excellent troubleshooting skills and the ability to diagnose technical issues where there isn’t an obvious answer.

• Comfortable learning new technologies, products, and business domains quickly.

• Experience translating technical documentation and customer requirements into working solutions.

• Excellent logical reasoning and problem-solving skills.

• Comfortable working directly with customers to understand requirements, demonstrate solutions, and iterate based on feedback.

• Experience with workflow automation, integration, or low-code platforms.

• Software development experience in any language.

• Experience working with AI-powered products or enterprise automation.

OUR VALUES

• There Is Always A Way. Nothing is impossible. Every problem has a solution—you just need to find it.
• Think People First. We invest in and prioritize people. We win as a team, listen with purpose, and value diversity.
• Start With Why And Fail Fast. Action and progress drive innovation. Every “how” begins with a meaningful “why.”
• No BS. Stay focused, keep it simple, and always move the needle.

PERKS AND BENEFITS

• Competitive compensation & equity package
• Virtual social events, and annual company offsite
• 401k, Medical, dental, and vision insurance
• Tonkean provides each employee with a MacBook Pro and a one-time work from home setup stipend of $1000(USD) upon commencing employment to purchase desk, chair and other work from home tools.

$145,000 - $165,000 a year

This role offers a competitive compensation package, including a base salary, performance-based incentives, and equity opportunities. Compensation will be commensurate with experience, skills, and qualifications. Tonkean also offers a comprehensive benefits package to support the well-being of our employees.

Tonkean welcomes everyone. We believe every member of our team enriches our diversity and inclusion by broadening our ways of problem-solving for future challenges. Even if you don’t meet 100% of the qualifications for this job, we strongly encourage you to apply.

Tonkean is an Equal Opportunity Employer and participates in the U.S. Federal E-Verify program. We believe diversity is important to building a successful business and do not discriminate based upon race, religion, color, national origin, sex, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other status protected by the laws or regulations in the locations where we operate. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with criminal histories.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Customer.io

Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

About the role

Hi, my name is Nick Guardino, Senior Director of Marketing Ops at Customer.io, and I’m looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on.

Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren’t built to scale. We believe businesses can run leaner and go further when they deploy AI agents well, and we’re figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building.

What we value

• Craft over quick wins — energized by making things robust, not just making them work.
• A point of view — we want someone who asks “why did you build it that way?” and has a specific answer for what to do instead.
• Comfortable being wrong — you try things fast, and you course-correct just as fast.
• AI-native by default — you’d rather direct Claude to write and QA code than write it by hand.

What you’ll do

• Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code.
• Observability & stability — instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do.
• Deployment & infrastructure — stand up and maintain the pipelines that get agents into users’ hands without surprises, owning environment parity and release hygiene on our GCP stack.
• Database administration — own how agents read from and write to our databases, safely and at scale.
• Fleet maintenance — monitor agent behavior in production, triage issues, and ship the steady stream of improvements that make an agent indispensable rather than just useful.
• Partner closely with the GTM AI team — free up our agent builders to stay in their zero-to-one wheelhouse while you own scale and reliability.
• Bring an outside point of view — tell us what we built wrong, and back it up with a plan to fix it.

What we’re looking for

• 4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role, ideally at a B2B SaaS company.
• Comfort working in the terminal daily, with a real GitHub PR-and-deploy workflow.
• Cloud hosting experience — Kubernetes, VMs, or equivalent; Google Cloud experience strongly preferred.
• Experience with how agents interact with and edit databases, including some hands-on database administration.
• Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent frameworks.
• Ability to prompt AI tools correctly, review their output critically, and direct them to QA their own work — this is an AI-native role, not a hand-coding one.
• Scrappy enough to iterate fast, disciplined enough to think about consistency once something needs to scale.
• A point of view, and the willingness to ask “why did you build it that way?”

Compensation & Benefits

We believe in transparency. Starting salary for this role is $140,000–$170,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

1. 30-minute Zoom call with Recruiter
2. 45-minute Zoom call with Hiring Manager
3. 45-minute Zoom call with a member of the GTM AI team
4. 60-minute Live technical session with the team

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join us!

Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

About Customer.io

Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

About the role

Hi, my name is Nick Guardino, Senior Director of Marketing Ops at Customer.io, and I’m looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on.

Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren’t built to scale. We believe businesses can run leaner and go further when they deploy AI agents well, and we’re figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building.

What we value

• Craft over quick wins — energized by making things robust, not just making them work.
• A point of view — we want someone who asks “why did you build it that way?” and has a specific answer for what to do instead.
• Comfortable being wrong — you try things fast, and you course-correct just as fast.
• AI-native by default — you’d rather direct Claude to write and QA code than write it by hand.

What you’ll do

• Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code.
• Observability & stability — instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do.
• Deployment & infrastructure — stand up and maintain the pipelines that get agents into users’ hands without surprises, owning environment parity and release hygiene on our GCP stack.
• Database administration — own how agents read from and write to our databases, safely and at scale.
• Fleet maintenance — monitor agent behavior in production, triage issues, and ship the steady stream of improvements that make an agent indispensable rather than just useful.
• Partner closely with the GTM AI team — free up our agent builders to stay in their zero-to-one wheelhouse while you own scale and reliability.
• Bring an outside point of view — tell us what we built wrong, and back it up with a plan to fix it.

What we’re looking for

• 4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role, ideally at a B2B SaaS company.
• Comfort working in the terminal daily, with a real GitHub PR-and-deploy workflow.
• Cloud hosting experience — Kubernetes, VMs, or equivalent; Google Cloud experience strongly preferred.
• Experience with how agents interact with and edit databases, including some hands-on database administration.
• Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent frameworks.
• Ability to prompt AI tools correctly, review their output critically, and direct them to QA their own work — this is an AI-native role, not a hand-coding one.
• Scrappy enough to iterate fast, disciplined enough to think about consistency once something needs to scale.
• A point of view, and the willingness to ask “why did you build it that way?”

Compensation & Benefits

We believe in transparency. Starting salary for this role is $140,000–$170,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

1. 30-minute Zoom call with Recruiter
2. 45-minute Zoom call with Hiring Manager
3. 45-minute Zoom call with a member of the GTM AI team
4. 60-minute Live technical session with the team

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join us!

Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Retail is Toast’s biggest bet and we are growing rapidly. The opportunity is massive, and the category is ours to define. You’ll have the backing of Toast’s scale, brand, and resources but you’ll be on the team architecting how we operate, scale, and win.  The decisions you make in this role will shape how Toast competes in retail for years to come. Toast is prioritizing AI integration across the enterprise to redefine GTM velocity. As part of this strategy, multiple business units are pursuing specialized AI initiatives tailored to market challenges. This model balances corporate-wide coordination with vertical accountability: teams work in lockstep to scale efficiencies and aggregate impact, while remaining responsible for developing, building, and launching solutions optimized for unique operating environments.

The GTM Sales Engineer & AI solutions is the core functional driver of this transformation within the Retail vertical. As an expert in applied AI, you will own the centralized deployment of AI applications to directly improve Productivity Per Rep (PPR). You will drive AI-powered productivity and automation across Retail sales, working with AEs and BDR/SDR teams to accelerate sales and with Onboarding to streamline the path to Customer Go-Live, with the opportunity to grow your impact across other GTM and client-facing teams as the vertical scales. You will be the operational linchpin running the Retail AI GTM Pod, architecting a continuous feedback loop sourcing grassroots ideas from the frontline, filtering them through a business lens, and scaling them into production tools.

This is a technical, builder-focused role. You will observe decentralized AI applications working across the organization and partner to accelerate their impact, making them structurally better, integrating them into core systems, and maintaining them long-term. While you will partner with central corporate operations and marketing to advocate for Retail use cases and scale company-wide efficiencies, you will also possess the autonomous engineering capabilities to construct vertical-specific pipelines when distinct merchant workflows require it. This role sits in Revenue Operations, but will also dotted-line report into engineering.

A day in the life (Responsibilities)

AI GTM Pod Governance & Solution Sourcing

• Leadership & Facilitation: Stand up the Retail AI GTM Pod to surface, qualify, and scale AI applications across the Retail field. The model could be a working group of AI-forward reps, managers, and leaders organized around defined themes in Sales & Onboarding, contributing domain expertise and frontline signals. The pod functions as an intake mechanism and sounding board, surfacing field experiments, pressure-testing priorities, and keeping your roadmap grounded in what moves the business.
• Idea & Solution Sourcing: Serve as the production engine for ideas surfacing through the pod and field. Evaluate what is worth scaling, determine the right build, buy, or borrow path, and take the strongest ideas from experiment to production tool—launching with Enablement to non-technical end-users and maintaining active ownership through adoption tracking, feedback, and iteration.
• Build vs. Buy Evaluation: Lead technical discovery to determine the most efficient path for problem statements, assessing whether to build a custom agentic solution, stitch existing APIs, or coordinate with vendors to purchase a scalable product.
• Roadmap Prioritization: Translate decisions into a sprint-based roadmap, prioritizing developments based strictly on their potential to drive vertical PPR and eliminate administrative friction.

Applied Engineering & Systems Integration

• Agile Sprint Execution: Maintain and execute against a technical scrum board, operating on defined sprint cycles to continuously ship, test, and iterate on AI-powered features.
• Industrializing Frontline Wins: Take successful, unscaled local experiments (e.g., territory expansion scoring, contact discovery pipelines, multi-intent category parsers) and harden them with error handling, version control, scalable code, and secure coding practices like input validation, secrets management, and mitigation of LLM risks (e.g., prompt injection).
• Systems Integration: Coordinate integration efforts to map vertical AI outputs into core GTM platforms (Salesforce, Snowflake, Taskray), ensuring local applications enhance rather than disrupt foundational enterprise pipelines.
• Data Integrity Architecture: Build & monitor data validation frameworks ensuring model inputs are pristine and outputs are entirely auditable and trusted by the field.
• Application Security: Design & enforce security controls for Retail AI applications, including authentication/authorization frameworks, secrets management, access controls on model outputs, and mitigations for LLM risks (prompt injection, data exfiltration). Ensure builds meet Toast’s security standards given system proximity to payment and customer data workflows.

Cross-Functional Partnership & Strategic Radar

• Enterprise Collaboration: Contribute to cross-functional AI coordination cadences connecting Revenue Operations, Marketing AI, and Business Technology teams across Toast. Align on company-wide AI investments, advocate for Retail use cases and merchant requirements in shared roadmaps, and identify where central efforts can be leveraged, adapted, or extended. Serve as Retail’s active voice in sequencing these shared initiatives while staying coordinated.
• Vertical Personalization: Monitor central enterprise tool developments (e.g., prospecting or enablement agent suites) to identify opportunities to clone, customize, or extend for Retail merchant types.
• Bidirectional Knowledge Exchange: Establish a pipeline for sharing locally developed code, architecture patterns, and prompt structures with central teams, ensuring Retail’s breakthroughs help elevate Toast’s engineering ecosystem.

Fluency, Enablement & Training Loops

• AI Fluency Leadership: Design and execute vertical-wide enablement tracks to build a baseline of confident, independent AI tool usage across sales reps, onboarding consultants, and managers.
• Adoption Analytics: Build & monitor adoption tracking mechanisms for deployed AI solutions, ensuring training translates into consistent field usage and measurable reductions in level of effort (LOE).

What you’ll need to thrive (Requirements)

• Applied AI Deployment: 4+ years of experience in a technical, analytical, or GTM operations role, with a track record of owning the full deployment lifecycle of applied AI applications, RAG pipelines, or agentic workflows, including post-launch monitoring, alerting, rollback procedures, and model version management.
• Modern AI Toolchain Literacy: Advanced, hands-on proficiency with developer-focused AI tools, specifically the Gemini Suite, Claude Cowork, and Claude Code.
• Modern Deployment Stack: Experience deploying and operating AI backend systems in production (API services, model inference pipelines, orchestration layers), with demonstrated ownership through reliability, observability, and incident response.
• Application Security Awareness: Familiarity with security best practices for AI-native systems, including authentication/authorization, secrets management, access controls on outputs, and awareness of LLM attack surfaces (prompt injection, data exfiltration).
• Agile Operational Fluency: Experience operating within an agile engineering model, including managing technical product backlogs, running sprint cycles, and maintaining scrum boards.
• Strategic Diplomacy: Exceptional communication skills with a proven ability to enter central enterprise forums, align stakeholders, advocate for vertical needs, and collaborate across business units.

What will help you stand out (Nonessential Skills/Nice to Haves)

• Software engineering or computer science background with the ability to write functional code (Python, JavaScript, or equivalent) and construct robust API integrations from scratch.
• Direct domain familiarity with B2B SaaS and Retail tech spanning grocery, convenience, or wholesale commerce environments.
• Experience building or scaling an AI program for non-technical end-users, including driving literacy, prompt engineering, or tool enablement.
• Degree in Computer Science, Engineering, a related technical discipline, or equivalent practical experience as a technical founder or builder.

AI at Toast

At Toast, one of our company values is that we’re hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy.

Zone A

$172,000—$275,000 USD

Zone B

$150,000—$240,000 USD

Zone C

$135,000—$216,000 USD

How Toast Uses AI in its Hiring Process

Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring

Our Approach to Hybrid Working

We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast

Diversity, Equity, and Inclusion is Baked into our Recipe for Success

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.

We Thrive Together

We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.

Apply today!

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.

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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Tebra only initiates contact with candidates via email from an official Tebra email address (@tebra.com, @patientpop.com, or @kareo.com) or through our applicant tracking system, Greenhouse. We will only ask you to provide sensitive personal information through our official application portal — not via social media or text message. We do not conduct interviews via instant messaging.

About the Role

We are hiring a hands-on player coach to lead AI across how Tebra runs as a company. You will be building alongside a small team of one to two engineers while simultaneously leading process re-engineering engagements with functional leaders. You will ship code, design agents and re-engineer workflows, while also leading the team around you.

With a small team, this role will focus on our internal operations — not the AI in our product. It covers how every function works, how fast we move, and how much leverage each person has. As we scale toward $300M+ in ARR, the goal is to decouple growth from headcount and build an operation that runs leaner as it gets bigger.

Most of the value comes from re-engineering the work itself, so you will pair deep engineering and applied AI skill with strong business judgment and a relentless focus on outcomes.

Your Area of Focus

AI Strategy & Use Case Discovery

• Work with the CEO, CFO, and CPO to identify where AI can drive the greatest efficiency and operating leverage across the organization, and prioritize accordingly.
• Audit and re-engineer business processes before automating them, so we improve how the work is done and not just how fast it runs.
• Build and maintain an AI Opportunity roadmap that prioritizes use cases by ROI, feasibility and strategic impact in partnership with the functional leaders.

Build the Hardest Workflows

• Perform deep-dive assessments to identify the highest-impact efficiency opportunities across all operating functions — then build them, don’t just document them.
• Design and build high-value internal agents and automations that address the hardest problems inside our operating functions. Stay hands-on in the build yourself; this is not a role where you commission others and review outputs.
• Own the shared patterns for retrieval, agent design, and secure system-of-record connectivity — including MCP servers, agent-to-agent orchestration, and API integrations — with permission-aware access across Gong, Salesforce, NetSuite, Snowflake, Slack, and Workato.
• Design multi-agent systems where specialized agents hand off to each other across workflow steps, not just single agent automation.
• Build and maintain the organizational context layer, the connective tissue that makes Tebra queryable; meeting capture, knowledge connectors, MCP servers into our core systems and permission aware retrieval so agents and people have a single source of truth.
• Develop and maintain a library of reusable skills, frameworks, and how to guide, allowing one person’s breakthrough workflow scale to the entire organization and the programs compound over time.
• Own the full lifecycle from rapid prototyping to production-grade deployment, including monitoring, evaluation frameworks, error handling, and iteration based on real usage data.

Governance

• Define the approved tools, data-handling rules, build standards, and a shared reference architecture for AI across Tebra’s operating functions, in partnership with Legal and Security.
• Own how agents are deployed and monitored once live, ensuring full HIPAA compliance and strict adherence to our data privacy and security policies for PHI, without slowing teams down.
• Stand up an AI risk register, acceptable use policy, and audit trail standards for all production agents, and maintain them as the tooling landscape evolves.

Enable the Functions

• Partner with each function to find high-value use cases and help them build and ship the more routine, accessible agents themselves.
• Coach AI owners inside each function, and run enablement and fluency programs so adoption scales beyond the central team.
• Build genuine on-ramps for less-technical teams: role-specific training, prompt libraries, office hours, and ready-to-use templates that make AI approachable across every level of the org.
• Continuously identify emerging AI tooling, methodologies, and agent frameworks — evaluate new models and techniques to keep Tebra ahead of the curve.

Your Professional Qualifications

Technical Foundation

• 8+ years in software engineering, applied AI, or technical product roles, with a meaningful stretch spent hands-on and building in production — not directing from a distance.
• An engineering background you still use. You can read and write code and ship production systems, not only manage people who do.
• Deep applied AI experience designing and deploying multi-agents systems, RAG pipelines, agent-to-agent orchestrations, MCP servers, and API integrations into systems of record, and LLM-based workflows in production.
• Hands-on experience shipping AI in a HIPAA-regulated or comparable environment — working within BAAs, maintaining audit trails, and keeping PHI out of non-covered tools.

Business & Operational Judgment

• A track record on operationally focused technology projects — workflow automation, systems integration, internal tooling — that demonstrably changed how a business runs.
• Strong business acumen. You can sit with a function leader, understand their workflow end-to-end, and translate it into the right automation — including knowing when the right answer is to redesign the process first.
• A process re-engineering instinct, with the judgment to fix the work before automating it.

Change Leadership & Adoption

• A proven track record of driving adoption and behavior change within non-technical teams — not just shipping the tools, but building champions, running training, and sustaining usage until it becomes a habit.
• Experience leading a small team and coaching others to build while staying hands-on yourself.
• Excellent communication. You can brief the CEO and pair with an engineer on the same day, and those conversations feel equally natural.

Location

• Although this position is remote, our strong preference is for candidates to be located on the West Coast or Pacific Time Zone.

(For Recruiter use only) #LI-BG1 #LI-Remote

We are dedicated to attracting and retaining top talent with competitive and fair compensation. For this position, this range reflects our Zone 1 (National Average) pay band. Your specific compensation is thoughtfully determined by your experience, qualifications, the specific requirements of the role, and your Geo Zone. Our geo-zone system ensures your pay is competitive for your location, recognizing varying costs of labor across regions.

Our four geo zones are designed to reflect this:

Zone 1: National Average

Zone 2: Moderately Higher Cost Regions

Zone 3: High-Cost Regions

Zone 4: Lower-Cost Regions

Beyond base compensation, Tebra offers eligible employees the opportunity for variable pay and a robust benefits package, reflecting our commitment to your overall well-being. In compliance with California pay transparency laws, the specific compensation range applicable to your Geo Zone will be shared during your initial talent screen.

Zone 1 (National Average)

$224,000—$256,000 USD

About Tebra

Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. Designed to replace the clunky, fragmented tools built for corporate systems, Tebra connects EHR software, billing, automation, telehealth solution, and marketing — so providers can spend less time on admin and more time with patients. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout — helping clinicians leave work on time and rediscover their purpose. Learn more at www.tebra.com.

Our Values

Start with the Customer

We get to know our customers - and their patients - and look at the world through their lens.

Keep It Simple

Healthcare is too complex. We aim to simplify it for everyone.

Stay Entrepreneurial

We reject the status quo and solve problems with creativity, perseverance, and a bias to action.

Better Together

We are diverse, humble, and collaborative. We put the team first and win together.

Celebrate Success

Life is short and joy is underrated. We take time to have fun and celebrate success.

Perks & Benefits

United States: In addition to our healthcare benefits, we also offer amazing perks! Need work from home basics? We offer a discount through Dell! We also offer a number of resources to help you keep your mind and body healthy. Check out Gympass for a great workout, or TelusEmployee Assistance Program to find mental health resources, along with other resources for everyday occurrences.

Costa Rica: To assist with all of life’s needs, Tebra also offers a wellness and childcare subsidy and a University/Education discount! We also offer a number of resources to help you keep your mind and body healthy. Check out Gympass for access to health and fitness apps, or Telus Employee Assistance Program to find mental health resources, along with other resources for everyday occurrences.

Compliance & Privacy Disclosures

NOTE: Tebra is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

California residents who apply or are recruited for a job with us: please carefully review our California-specific Privacy Notice under the California Consumer Protection Act here: https://www.tebra.com/privacy-policy/california-supplemental-notice/

If you would like to report a fraudulent Tebra job posting, please contact us at talentacquisition@tebra.com and consider reporting your experience to the FBI’s Internet Crime Complaint Center or the Better Business Bureau to help keep others safe online, too.

As part of our commitment to a fair and efficient hiring process, Tebra utilizes BrightHire, an interview intelligence platform, for our phone and video screenings. This technology records and transcribes interviews to help us ensure consistency, reduce bias, and make more informed hiring decisions. By applying for this position, you acknowledge that your interview may be recorded.

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.

About Legion

Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges.

Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.

With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.

We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work.

Agentic AI Engineer / Software Engineer - AI Applications (Remote US)

***US Citizenship or Greencard is required due to US Government contract requirements***

Job Summary:

We’re looking for an Agentic Engineer to bridge the gap between our AI platform and customer outcomes. You’ll take the platform capabilities our engineering teams build—agents, workflows, memory, reasoning, integrations, and tools—and turn them into polished, customer-ready applications that demonstrate immediate value.

This is an engineering role for someone who enjoys building end-to-end experiences. You’ll work directly with product and platform engineers to rapidly build, iterate, and ship AI applications that align with real operational value.

Responsibilities:

• Build agentic applications that solve real customer use cases using our platform capabilities.
• Design agentic workflows, plugins, and tool integrations that deliver measurable customer value.
• Translate ambiguous problems into intuitive AI experiences.
• Rapidly build new applications, gather feedback, and iterate into production-ready solutions.
• Partner closely with platform engineers to inform abstractions and reusable components.
• Identify common patterns across customer deployments and help evolve them into reusable products.
• Own customer-facing quality—from UX and reliability to performance and evaluation.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.
• 3-5 years of software engineering experience
• Experience building production-ready agentic AI applications using AI agents, workflows, MCP, and tool orchestration.
• Ability to move quickly from idea to working product while maintaining high engineering quality.
• Strong product instincts—you care about whether something is useful, not just technically impressive.
• Experience integrating APIs, enterprise systems, and external data sources.
• Excellent communication and collaboration across engineering and product teams
• Growth mindset and low ego- you’re eager to pick up new tools and technologies, learn from others, and be open to changing course when it’s right.
• Drive to foster a culture of collaboration, psychological safety, and technical excellence.
• Strong advocate for inclusion in technical discussions at all levels.

Preferred Qualifications:

• Start-up experience or comfort in 0→1 product environments.
• Solid understanding of AI security practices including RBAC/ABAC, audit logging, and prompt-level safeguards
• Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)

Compensation Information

$150,000—$200,000 USD

Equal Opportunity Statement

Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Mission Summary:

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

We are seeking a talented Principal Engineer to technically oversee the design, development, and deployment of a novel Embodied AI and Large Language Model (LLM)-based monitoring framework for off-board scenario understanding, intelligence evaluation, and root cause analysis. While this role will pioneer future off-board Vision-Language-Action (VLA) integrations for off-board analysis, it requires strong foundations as an Autonomous Vehicle Performance Metrics developer.

You will lead the creation of a specialized, off-board evaluation layer that consumes AV drive logs and fleet data to automatically infer scenario safety and assess driving intelligence without running live on the vehicle. Your architectural designs will integrate with internal systems to form a complete pipeline that identifies safety incidents, enriches them with structured context, and conducts detailed root cause analysis to provide the Autonomy team with actionable direction. If you are an innovative individual contributor with a passion for overseeing the integration of complex, scalable data pipelines and state-of-the-art Embodied AI frameworks, we encourage you to apply.

What You’ll Be Doing:

• Embodied AI & LLM Framework Oversight: Technically oversee the architecture to identify, describe, and enrich events in historical vehicle logs using Multimodal LLMs.
• Multi-Modal Data Fusion: Oversee the off-board ingestion and fusion of semantic scene descriptions, ego-centric kinematics, and internal autonomy telemetry to create a holistic diagnostic context for LLM inference.
• Prompt Engineering & Model Integration: Develop structured prompting templates utilizing Contextual Prompting (CP), Chain-of-Thought (CoT), and In-Context Learning (ICL) to evaluate scenarios.
• AI Inference & Evaluation Scalability: Architect the integration of foundation models into the Metrics Engine (ME), designing efficient cascade filtering and log slice parallelization strategies to scale high-volume LLM inference across simulation and on-road drive logs while managing computational latency and costs.
• AV Performance Metrics Foundations: Define, design, and implement key metrics to evaluate autonomous vehicle performance, such as lane change capability, oscillations, and braking.
• Driving Policy Integration: Deploy and manage a Retrieval-Augmented Generation (RAG) vector database containing codified AV Driving Policies to ground off-board LLM evaluations in specific Operational Design Domains.
• Cross-Functional Technical Leadership: Serve as a technical escalation point and collaborate with Autonomy (Planner, Prediction, Perception) and Systems teams to deliver high-signal, enriched events.
• Advanced Physical AI R&D: Drive the transition toward Direct Vector-LLM Fusion utilizing emerging Physical AI ecosystems and open-weights Vision-Language-Action (VLA) models to process telemetry off-board without text-translation bottlenecks.

What We’re Looking For:

• 10+ years of professional experience in software engineering, applied AI/ML, or autonomous vehicle systems development.
• Bachelor’s degree in Computer Science, Engineering, Robotics, or a related field.
• Proven experience working with Large Language Models (LLMs) and Vision-Language Models (VLMs) for reasoning, parsing, and scene description.
• Experience with parameter-efficient fine-tuning and deploying open-weights models on internal infrastructure.
• Familiarity with local and cloud vector databases, such as LanceDB, for housing output vector embeddings.
• Experience with adversarial scenario generation and closed-loop simulation environments.
• Strong background leveraging software to develop frameworks, libraries, and tools for calculating and aggregating AV performance metrics.
• Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation.
• Expert-level proficiency in Python and strong understanding of software development principles.

Bonus Points (not required):

• Experience working with autonomous vehicle sensor data, including its processing and integration.
• Hands-on experience with data pipeline orchestration tools and distributed data processing frameworks.
• Expertise managing cloud infrastructure on AWS or GCP for processing terabytes of data efficiently.
• Familiarity with Ray and Ray clusters for scaling Python applications and AI/ML tasks.
• Expertise with C++ programming for data frameworks.

Success Metrics:

• Successful deployment of an automated off-board evaluator capable of inferring scenario safety and assessing AV intelligence with a target >90% F1 score for anomaly detection.
• Successful delivery of high-signal, LLM-enriched events and robust performance metrics that enable Autonomy teams to efficiently diagnose and resolve complex, long-tail behavioral issues.
• Reduction of the turnaround time required to move from fleet data collection to actionable simulation scenario creation from days to hours.
• Improvement in the efficiency and effectiveness of AV performance evaluation processes.

This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you’re innovative, driven, and eager to tackle challenges, we’d love to have you join us!

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):

Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment:

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range

$200,000—$275,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

Our journey is always people first.

We aren’t just developing driverless cars; we’re creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry’s largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world’s first robotaxi pilot, and operation of the world’s longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

About Legion

Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges.

Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.

With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.

We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work.

Agentic AI Engineer / Software Engineer - AI Applications (Remote US)

***US Citizenship or Greencard is required due to US Government contract requirements***

Job Summary:

We’re looking for an Agentic Engineer to bridge the gap between our AI platform and customer outcomes. You’ll take the platform capabilities our engineering teams build—agents, workflows, memory, reasoning, integrations, and tools—and turn them into polished, customer-ready applications that demonstrate immediate value.

This is an engineering role for someone who enjoys building end-to-end experiences. You’ll work directly with product and platform engineers to rapidly build, iterate, and ship AI applications that align with real operational value.

Responsibilities:

• Build agentic applications that solve real customer use cases using our platform capabilities.
• Design agentic workflows, plugins, and tool integrations that deliver measurable customer value.
• Translate ambiguous problems into intuitive AI experiences.
• Rapidly build new applications, gather feedback, and iterate into production-ready solutions.
• Partner closely with platform engineers to inform abstractions and reusable components.
• Identify common patterns across customer deployments and help evolve them into reusable products.
• Own customer-facing quality—from UX and reliability to performance and evaluation.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.
• 3-5 years of software engineering experience
• Experience building production-ready agentic AI applications using AI agents, workflows, MCP, and tool orchestration.
• Ability to move quickly from idea to working product while maintaining high engineering quality.
• Strong product instincts—you care about whether something is useful, not just technically impressive.
• Experience integrating APIs, enterprise systems, and external data sources.
• Excellent communication and collaboration across engineering and product teams
• Growth mindset and low ego- you’re eager to pick up new tools and technologies, learn from others, and be open to changing course when it’s right.
• Drive to foster a culture of collaboration, psychological safety, and technical excellence.
• Strong advocate for inclusion in technical discussions at all levels.

Preferred Qualifications:

• Start-up experience or comfort in 0→1 product environments.
• Solid understanding of AI security practices including RBAC/ABAC, audit logging, and prompt-level safeguards
• Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)

Compensation Information

$150,000—$200,000 USD

Equal Opportunity Statement

Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Forward Deployed Engineer (Perm, Italy, Remote + Travel)

This is a full-time, permanent opportunity for candidates based in Italy.

This position also requires frequent travel to client sites within Europe, with travel expenses covered by the company.

About Nearform

Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact.

Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI.

Today, our team of 500 experts in 20+ countries is trusted by leading enterprises, including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.

About the role

As a Forward Deployed Engineer, you will help build, implement, and deploy agentic platforms within client environments. Your role will focus on building and deploying scalable AI-driven solutions, enabling organisations to operationalise LLM-powered agents across products, processes, and teams. You will work closely with client stakeholders, technical leaders, and delivery teams to build, and roll out agentic capabilities that integrate seamlessly with existing enterprise systems and frameworks.

What we are looking for in this person:

• Significant experience delivering at a Senior Engineer level. Our Seniors typically have at least 8 years of commercial experience.
• Experience designing and building agentic platforms using Python and modern AI frameworks.
• Architect LLM orchestration using frameworks such as LangGraph, CrewAI, AutoGen, and related technologies.
• Implement multi-agent systems supporting tool use, workflow orchestration, memory, and decision-making.
• Design and deploy Retrieval-Augmented Generation (RAG) pipelines integrating enterprise data sources.
• Integrate agentic platforms with client systems, including APIs, data platforms, cloud services, and enterprise applications.
• The ability to configure Kubernetes and deploy workloads.
• Design deployment architectures across cloud, on-premise, and hybrid environments.
• Ability to collaborate efficiently in teams of technical and non-technical individuals.
• Comfort working in a dynamic environment with evolving objectives and direct iteration with users.
• Strong consulting experience to plan, execute, and deliver complex client engagements, solving real business problems.

Nice to have:

• Hands-on experience working with Golang
• Hands-on experience in the Frontend working with React
• Deep understanding of Kubernetes

Benefits & Perks:

• Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance.
• Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem!
• Paid Time Off Package - We offer an annual leave of 25 days plus public holidays. We also offer sick leave, marriage leave and many more.
• Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 (equivalent in GBP) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join.
• Training and Development Allowance - We understand the importance of continuously learning so we offer an allowance you can use to upskill yourself.
• Healthcare - It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team.
• Pension & Insurances - We offer a pension match of up to 5% and Income Protection and Death in Service for peace of mind.

Our Interview Process

1. Talent Call (30 mins via Zoom)

An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We’ll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment.

1. Technical Assessment (1 hour via Zoom)

A live coding challenge with one of our trained interviewers. You’ll be asked to build a working solution to a problem via screen sharing, demonstrating your Python expertise, problem-solving ability, and coding best practices in a real-time environment.

1. Hiring Manager Interview (45 mins via Zoom)

A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We’ll also share more details about Nearform and the potential projects you may join.

There may also be an additional interview with the client depending on the project

Ready to Join Us?

If you’re passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you.

Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning.

Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence.

If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.

Salary range - £75-£95,000 + bonus & benefits

Company Description

Tech native for over 30 years, Devoteam guides businesses through sustainable digital transformation to deliver value.

With over 11,000 tech architects in more than 25 countries across Europe, the Middle East, and Africa, Devoteam is committed to using technology to serve people.

Devoteam has been a ServiceNow Elite Partner since 2019. In 2026, it was recognised as ServiceNow Partner of the Year for the fourth consecutive year.

Job Description

About the Role

As an AI / ML Lead Consultant, you will lead customer engagements around modern data platforms, machine learning and Generative AI on Google Cloud. You will combine technical leadership, architectural ownership and delivery responsibility to help customers move from strategy and ideation to scalable, production-ready solutions..

What You’ll Do

• Lead customer engagements in the areas of Google Cloud Data, AI, Machine Learning and Generative AI
• Conduct Data Architecture, AI/ML and GenAI workshops with customers
• Design and deliver fit-for-purpose solution architectures based on customer requirements, business goals and technical constraints
• Take responsibility for delivery teams and ensure successful implementation of customer projects
• Create solution architecture documents, technical designs and implementation roadmaps
• Support the development of end-to-end data and AI pipelines on Google Cloud
• Help customers industrialise AI use cases and move from prototype to production-ready solutions
• Design and support MLOps / LLMOps practices, including CI/CD, deployment, monitoring and lifecycle management
• Advise customers on modern AI patterns such as LLM integration, RAG architectures, prompt engineering and foundation model adoption
• Collaborate with data engineers and developers to build scalable cloud-native solutions
• Contribute to the development of internal frameworks, offerings, service domains and reusable assets
• Support pre-sales, business development and proposal activities
• Coach and mentor junior consultants and engineers
• Actively contribute to knowledge sharing and continuous learning within the team

Qualifications

What You Bring

• A degree in Computer Science, Engineering, Mathematics or a related field
• 5+ years of experience in data science, machine learning, AI engineering or a related consulting role
• Proven hands-on experience delivering solutions on Google Cloud Platform, or equivalent cloud technologies
• Strong experience in designing and delivering complex technical architectures
• Hands-on experience with Vertex AI, Gemini models and related cloud AI services
• Strong programming skills in Python or R
• Solid foundation in machine learning and AI frameworks such as TensorFlow, PyTorch, LangChain or LangGraph
• Experience setting up CI/CD pipelines for data and ML projects
• Experience with DBT and/or Dataform
• Fluent German and English, both written and spoken

Nice to Have

• Good understanding of MLOps tools and best practices
• Experience with Generative AI use cases in enterprise environments
• Familiarity with RAG architectures, vector databases and AI application monitoring
• Experience with Docker, APIs and modern software engineering practices
• Experience with big data technologies such as Spark, Hadoop or Hive
• Experience with NLP, computer vision or advanced analytics
• Contributions to open-source projects or publications in relevant conferences or journals
• Two or more certifications in GCP, AWS or Azure Architecture and/or Machine Learning

Additional Information

Why to join us:

• Work on innovative and impactful Cloud, Data & AI projects for leading clients across industries
• Join a fast-growing, entrepreneurial environment with strong Google Cloud expertise
• Be part of a collaborative and international team of cloud, data and AI specialists
• Take ownership and play a key role in shaping customer engagements and growing our Data & AI capabilities
• Benefit from continuous learning, certification support and professional development opportunities
• Enjoy a culture built on respect, ambition, entrepreneurship, collaboration and frankness
• Receive a competitive compensation package and grow in a supportive environment that empowers you to succeed

Benefits and perks:

• 5 weeks of vacation per year (= 1 week extra)
• 4 “My Days” per year
• Hybrid office
• Flexible working hours
• Udemy for business account
• Meal allowance up to 32.000 CZK/year (129,50 CZK/day)
• Cafeteria 1200 CZK/month (MultiSport Card available)
• Phone tariff (unlimited calls, texts messages within the EU, 20GB of Internet)
• Employee Referral Program
• Sabbatical leave
• Repurchase of hardware

Moreover, we offer:

• Above standard working equipment
• Company mobile phone (selection from Android/iPhone)
• Company laptop (Windows/macOS)
• Coffee, tea, snacks and breakfasts in the office
• Company events and teambuildings
• Gifts for work anniversaries, promotion or childbirth
• Friendly and open culture

And last but not least, you can rely on:

• Transparent framework for career growth, reinforced by annual performance evaluations
• Trust and autonomy, with no micro-management
• Learning from senior colleagues and opportunities to collaborate with professionals from various industries
• Usage of AI tools and access to elaborate, tailored AI training